Resume

Shahrin Nakkhatra · Data Scientist, Robi Axiata Ltd.

Download PDF

Professional Summary

Machine Learning Engineer with 5+ years of experience building and deploying end-to-end ML systems, managing data pipelines, and leading AI initiatives. Proven track record in customer analytics, computer vision, and NLP. Seeking tech leadership roles to drive innovation and build high-performing teams.

Experience

Associate Manager, AI & Data Science

Robi Axiata Limited

October 2024 — Present · Dhaka, Bangladesh

  • Developed social media sentiment analysis tool tracking sentiment, intent, emotion, and issues from Facebook comments from Robi, Airtel, Banglalink, and Grameenphone Facebook pages - Built live tableau dashboard presenting insights
  • Created automated SLT KPI monitoring app with database versioning, file-based KPI calculations, UI filtering, and monthly email reporting for senior leadership (Band A-C)
  • Engineered My Robi app inactive user profiling system to segment dormant users and deliver personalized re-engagement offers based on usage patterns
  • Built RAG-based procurement chatbot using financial documents (policies, LOAs, procedures) with vector embeddings for accurate context retrieval and query responses

Machine Learning Data Engineer - Level 2

Optimizely

June 2022 — September 2024 · Remote (US/UK)

  • Built end-to-end customer churn prediction system using time series analysis on product usage data, addressing class imbalance and data quality challenges
  • Architected automated ML pipeline on AWS with monthly retraining, model selection, and deployment using Docker, Kubernetes (Kustomize), and Argo Workflows
  • Implemented CI/CD pipeline via GitHub Actions and managed three-tier data architecture (RAW/STAGING/REPORTING) in Snowflake with DBT transformations
  • Integrated LIME for model explainability and delivered actionable insights to stakeholders through automated reporting dashboard

Machine Learning Engineer

NybSys

October 2021 — May 2022 · Dhaka, Bangladesh

  • Enhanced multi-model surveillance platform (Survello) with anomaly detection, loitering, object counting, mask detection, and motion tracking using multiprocessing
  • Developed real-time drowsiness detection system using facial landmarks and eye aspect ratio analysis with alert mechanisms
  • Led end-to-end development of smartphone-based fall detection app including data collection, synthetic data generation, and on-device ML model deployment
  • Maintained and migrated NybFace IoT-based face recognition API to edge devices for improved latency and offline capability

Global Product Development Officer

Avery Dennison

March 2020 — September 2021 · Dhaka, Bangladesh

  • Managed product lifecycle from quotation to production setup in Oracle database, collaborating with supply chain for material sourcing and product re-engineering

Education

Bachelor of Science in Mechanical Engineering

Bangladesh University of Engineering and Technology (BUET)

July 2014 — April 2019 · Dhaka, Bangladesh

Skills

Languages

PythonMATLABCC++BashSQL

ML/DL Frameworks

PyTorchTensorFlowKeras

MLOps & Cloud

DockerKubernetesGitHub CI/CDAWS (EC2, SageMaker)SnowflakeDBT

Data Science

PandasPySpark

Visualization

MatplotlibPlotlySeabornBokeh

Version Control

Git

API

Flask

Certifications

  • Machine Learning — Stanford University (Coursera): Foundations, algorithms, and mathematics
  • Deep Learning Specialization — Stanford University (Coursera): Neural networks, hyperparameter tuning, optimization